eus.ixa.ixa.pipe.nerc.features

Class WordShapeSuperSenseFeatureGenerator

java.lang.Object

opennlp.tools.util.featuregen.CustomFeatureGenerator

eus.ixa.ixa.pipe.nerc.features.WordShapeSuperSenseFeatureGenerator

All Implemented Interfaces:

opennlp.tools.util.featuregen.AdaptiveFeatureGenerator

public class WordShapeSuperSenseFeatureGenerator
extends opennlp.tools.util.featuregen.CustomFeatureGenerator

Ciaramita and Altun (2006) word shape features. This feature generator can also be placed on a sliding window.

Version:

2015-03-17

Author:

ragerri

Constructor Summary

Constructors

Constructor and Description
WordShapeSuperSenseFeatureGenerator()

Method Summary

Modifier and Type	Method and Description
void	clearAdaptiveData()
void	createFeatures(List<String> features, String[] tokens, int index, String[] preds)
void	init(Map<String,String> properties, opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider resources)
static String	normalize(String token) Normalize upper case, lower case, digits and duplicate characters.
void	updateAdaptiveData(String[] tokens, String[] outcomes)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

WordShapeSuperSenseFeatureGenerator

public WordShapeSuperSenseFeatureGenerator()

Method Detail

createFeatures

public void createFeatures(List<String> features,
                           String[] tokens,
                           int index,
                           String[] preds)

normalize

public static String normalize(String token)

Normalize upper case, lower case, digits and duplicate characters.

Parameters:

token - the token to be normalized

Returns:

the normalized token

clearAdaptiveData

public void clearAdaptiveData()

updateAdaptiveData

public void updateAdaptiveData(String[] tokens,
                               String[] outcomes)

init

public void init(Map<String,String> properties,
                 opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider resources)
          throws opennlp.tools.util.InvalidFormatException

Specified by:

init in class opennlp.tools.util.featuregen.CustomFeatureGenerator

Throws:

opennlp.tools.util.InvalidFormatException